Adaptive method of computational imaging based on super-resolution technology

2021 ◽  
Author(s):  
Hua Liu ◽  
Quanxin Ding ◽  
Ronggang ZHU
Keyword(s):  
Super Resolution ◽  
Adaptive Method ◽  
Computational Imaging

Block matching super-resolution parallel GPU implementation for computational imaging

2017 ◽  
Vol 63 (4) ◽  
pp. 368-376
Author(s):  
E. Marenzi ◽  
E. Torti ◽  
F. Leporati ◽  
E. Quevedo ◽  
G. M. Callicò
Keyword(s):  
Super Resolution ◽  
Computational Imaging ◽  
Block Matching ◽  
Gpu Implementation

Optical lens-shift design for increasing spatial resolution of 3D ToF cameras

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Henrik Lietz ◽  
M. Muneeb Hassan ◽  
Jörg Eberhardt
Keyword(s):  
Sampling Rate ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Computational Imaging ◽  
Resolving Power ◽  
Current Sensor ◽  
Optical Lens ◽  
Static Object ◽  
Sensor Properties ◽  
Physical Sensor

AbstractSensor resolution of 3D time-of-flight (ToF) outdoor-capable cameras is strongly limited because of its large pixel dimensions. Computational imaging permits enhancement of the optical system’s resolving power without changing physical sensor properties. Super-resolution (SR) algorithms superimpose several sub-pixel-shifted low-resolution (LR) images to overcome the system’s limited spatial sampling rate. In this paper, we propose a novel opto-mechanical system to implement sub-pixel shifts by moving an optical lens. This method is more flexible in terms of implementing SR techniques than current sensor-shift approaches. In addition, we describe a SR observation model that has been optimized for the use of LR 3D ToF cameras. A state-of-the-art iteratively reweighted minimization algorithm executes the SR process. It is proven that our method achieves nearly the same resolution increase as if the pixel area would be halved physically. Resolution enhancement is measured objectively for amplitude images of a static object scene.

scholarly journals Super-resolution structured illumination microscopy: past, present and future

2021 ◽  
Vol 379 (2199) ◽  
Author(s):  
Kirti Prakash ◽  
Benedict Diederich ◽  
Stefanie Reichelt ◽  
Rainer Heintzmann ◽  
Lothar Schermelleh
Keyword(s):  
Three Dimensional ◽  
Super Resolution ◽  
Computational Imaging ◽  
Biological Applications ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Recent Developments ◽  
Resolution Imaging ◽  
Microscopy Techniques ◽  
Super Resolution Microscopy

Structured illumination microscopy (SIM) has emerged as an essential technique for three-dimensional (3D) and live-cell super-resolution imaging. However, to date, there has not been a dedicated workshop or journal issue covering the various aspects of SIM, from bespoke hardware and software development and the use of commercial instruments to biological applications. This special issue aims to recap recent developments as well as outline future trends. In addition to SIM, we cover related topics such as complementary super-resolution microscopy techniques, computational imaging, visualization and image processing methods.This article is part of the Theo Murphy meeting issue ‘Super-resolution structured illumination microscopy (part 1)’.

scholarly journals Super-resolution in computational imaging

Micron ◽  
2003 ◽  
Vol 34 (6-7) ◽  
pp. 265-273 ◽  
Author(s):  
M. Bertero ◽  
P. Boccacci
Keyword(s):  
Super Resolution ◽  
Computational Imaging
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